Notes To My (Legal) Self
Season 6, Episode 5: AI Audits: Best Practices and Regulatory Trends (with Jey Kumarasamy)
Dec 19, 2023
Jey Kumarasamy, an associate at BNH.AI, discusses AI audits and their implementation in practice. The podcast explores the components and importance of AI audits, challenges that can arise during the process, and the future of AI regulation. It emphasizes the need for organizations to be proactive in the responsible use of AI and highlights the role of in-house counsel in managing AI risks.
40:24
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Quick takeaways
- AI audits are assessments of AI systems to ensure compliance with legal, regulatory, and ethical standards.
- The NIST AI risk management framework provides a useful structure for conducting AI audits and aligning with legal requirements.
Deep dives
What is an AI audit and its purpose?
An AI audit is an assessment of an AI system to identify and measure risks and ensure compliance with legal, regulatory, and ethical standards. It primarily focuses on legal compliance, mapping and measuring risks, managing risks, and governance processes within an organization. The NIST AI risk management framework provides a useful structure for conducting AI audits and aligning with legal requirements.
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